CN114022085A - Allocation method, system, equipment and storage medium based on inventory data - Google Patents
Allocation method, system, equipment and storage medium based on inventory data Download PDFInfo
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- CN114022085A CN114022085A CN202210004001.8A CN202210004001A CN114022085A CN 114022085 A CN114022085 A CN 114022085A CN 202210004001 A CN202210004001 A CN 202210004001A CN 114022085 A CN114022085 A CN 114022085A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
Abstract
The invention relates to an intelligent store management technology, in particular to a method, a system, equipment and a storage medium for allocating based on inventory data. The method comprises the following steps: acquiring a transfer request and feeding back a query identifier, wherein the transfer request comprises information of commodities to be transferred and store information; analyzing the allocation request, inquiring a warehousing cluster meeting the information of the commodity to be allocated based on inventory data, and obtaining a warehousing cluster list; simulating the forecast time efficiency of the shop information allocation based on the grid map, and generating an allocation time efficiency list corresponding to the storage cluster list; according to the allocation timeliness sorting, allocating the sorted first storage, the simulated allocation route and store information corresponding to the first storage as return results, and uploading the allocation progress in real time; and inquiring the transfer progress in real time according to the fed-back inquiry identification. The invention supports asynchronous processing of batch requests, and rapidly completes the allocation and distribution of commodities based on inventory data so as to meet the sales requirements of backorder stores.
Description
Technical Field
The invention relates to an intelligent store management technology, in particular to a method, a system, equipment and a storage medium for allocating based on inventory data.
Background
In the retail industry, with the continuous development of the chain store model, a private warehouse needs to be established for the chain store to store inventory goods belonging to the related stores. In the operation process of each store, the situation of commodity shortage is not avoided, in order to replenish the commodities as soon as possible, store personnel usually request delivery to a designated main storage center in a daily report form, when the commodities with shortage are sold, inventory commodities between stores are difficult to allocate, during the allocation of the commodities with shortage, the commodities with shortage need to be inquired one by one in a mode of consultation by the store personnel with the commodity shortage, the allocation is time-consuming and labor-consuming, the allocation and delivery are difficult, and the cost is high.
The reason for this is that warehouses of stores are delivered by the same storage center, the storage center sets up private warehouses for directly accessing commodities directly delivered by each store for storage, then the commodities are sold to customers by each store, actual consumption of the commodities in each store is isolated from inventory information, current inventory information of other stores cannot be obtained during sale, allocation of out-of-stock commodities among the stores during sale is not facilitated, and the flow involved in the allocation of out-of-stock commodities among different stores is complex.
Therefore, the inventory data-based allocation method and system are provided to help chain stores to allocate the shortage commodities more conveniently, the flow is clearer, efficient allocation of the shortage commodities among different stores and different warehouses is realized, the most suitable allocation warehouse can be quickly matched, delivery service is executed through preset delivery resources, the sales requirements of the shortage stores are met, and the condition that the turnover rate of the warehouse is influenced by long-time backlog of the commodities in other stores is avoided.
Disclosure of Invention
In order to solve the problems of complex processes of inventory inquiry and allocation among the existing stores, difficult allocation and distribution, time and labor consumption, the invention constructs an allocation method, a system, equipment and a storage medium based on inventory data.
The invention is realized by adopting the following technical scheme:
a method for allocating based on inventory data includes the following steps:
acquiring a transfer request and feeding back a query identifier, wherein the transfer request comprises information of commodities to be transferred and store information;
analyzing the allocation request, inquiring a warehousing cluster meeting the information of the commodity to be allocated based on inventory data, and obtaining a warehousing cluster list;
simulating the forecast time efficiency of the shop information allocation based on the grid map, and generating an allocation time efficiency list corresponding to the storage cluster list;
according to the allocation timeliness sorting, allocating the sorted first storage, the simulated allocation route and store information corresponding to the first storage as return results, and uploading the allocation progress in real time;
and inquiring the transfer progress in real time according to the fed-back inquiry identification.
Further, the information of the commodities to be allocated comprises names of the commodities to be allocated, the quantity of the commodities to be allocated and allocation delivery time.
Further, simulating the forecast time limit allocated to the store information based on the grid map, and generating an allocation time limit list corresponding to the storage cluster list, including:
reading the position information of the warehouse corresponding to each store in the warehousing cluster list and marking the position information in the grid map as a starting point coordinate;
marking store information corresponding to the information of the commodity to be called as a termination point coordinate;
generating a distribution route from each starting point coordinate to the end point coordinate and predicting the time efficiency based on the grid map;
and recording the corresponding predicted aging of each warehouse in the warehousing cluster list, and generating a transfer aging list corresponding to the warehousing cluster list.
Further, according to the sequence from small to large of the transfer timeliness in the transfer timeliness list, the warehouse corresponding to the shortest transfer time is used as a first warehouse, a distribution route from the first warehouse to store information corresponding to the commodity information to be transferred is used as a simulated transfer route, the store information corresponding to the first warehouse is stored as a return result, and the store information is sent at the appointed transfer arrival time.
Further, when generating the corresponding warehousing cluster list, the method further includes:
the warehouse data of the warehouse corresponding to each store are updated in real time, and the inventory data are updated in real time;
setting a threshold value of storage transfer, and removing the storage below the set threshold value when generating a corresponding storage cluster list;
and when a return result is generated, the commodities to be allocated and allocated in the first warehouse are removed from the warehouse data of the first warehouse, and the warehouse data of the first warehouse is updated in real time.
The invention also comprises a dispatching system based on the inventory data, wherein the dispatching system based on the inventory data adopts the dispatching method based on the inventory data to inquire, dispatch and deliver the inventory among stores; the inventory data-based allocation system comprises a server and terminal equipment communicated with the server;
the terminal equipment is used for sending a transfer request to the server and receiving a query identifier fed back by the server;
the server comprises a configuration module, a database, a simulation module, a transferring and distributing module and a processing module;
the configuration module is used for inquiring the warehousing cluster meeting the information of the commodity to be allocated in the database according to the allocation request to obtain a warehousing cluster list;
the database is used for updating the warehousing data of the warehouse corresponding to each store in real time and updating the inventory data in real time;
the simulation module is used for simulating the forecast timeliness of the shop information allocation based on the grid map and generating an allocation timeliness list corresponding to the storage cluster list;
the allocation and delivery module is used for allocating the ordered first warehouse, the simulated allocation route and store information corresponding to the first warehouse as return results according to allocation and aging ordering, and delivering the goods to the warehouse at the allocation and delivery time;
the processing module is used for receiving the allocation request and feeding back a query identifier; the database is used for analyzing the allocation request, inquiring the warehousing cluster meeting the information of the commodity to be allocated in the database according to the allocation request, and obtaining a warehousing cluster list; and the system is also used for uploading the transfer schedule in real time.
Further, the inventory data-based allocation system further comprises a result storage module, wherein the result storage module is used for storing the sorted first warehouse, the simulated allocation route and store information corresponding to the first warehouse as return results, and delivering the return results to the goods at the allocation delivery time specified by the allocation request according to the stored results.
Further, the allocation system based on the inventory data further comprises a progress cache module, wherein the progress cache module is used for receiving the allocation request processing progress uploaded by the processing module in real time, and the allocation request processing progress comprises analysis matching warehousing cluster progress of the allocation request, simulation prediction aging progress of the allocation request, allocation result generation progress of the allocation request and allocation and distribution progress according to a simulated allocation route.
Further, the terminal device configures a simulated allocation route to chain stores and binds information of each store, and is used for inputting names of commodities to be allocated, the quantity of the commodities to be allocated and allocation arrival time of the commodity information to be allocated and sending the names, the quantity and the allocation arrival time to the server in an allocation request manner; and the terminal equipment is also used for inquiring the transfer progress corresponding to the transfer request according to the fed-back inquiry identification.
The invention also includes a transfer device based on inventory data, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to cause the at least one processor to perform the inventory data based method of transferring.
The present invention also includes a computer readable storage medium having stored thereon computer instructions for causing the computer to execute the inventory data based transfer method.
The technical scheme provided by the invention has the following beneficial effects:
the invention can make the stores between stores inquire each other, one key initiates the allocation, it is convenient and fast, the terminal device binding store information sends the allocation request, the server receives the allocation request and feeds back the inquiry mark in a unified and parallel way, it is not necessary for store personnel to communicate the allocation one by one, it is not necessary to wait for the allocation process, it is only necessary to inquire the progress at any time according to the inquiry mark, it saves the waiting and selecting time of allocation, at the same time, it increases the allocation process ability, supports the allocation request obtained by transverse processing, at the same time, it processes the batch request asynchronously, it completes the allocation and distribution of goods based on the stock data, it achieves the best allocation and distribution effect, to meet the sale demand of the shortage store.
These and other aspects of the invention are apparent from and will be elucidated with reference to the embodiments described hereinafter. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or technical solutions in the related art, the drawings, which are needed to be used in the description of the exemplary embodiments or related art, will be briefly described below, and are used for providing further understanding of the present invention and are a part of the specification, and together with the embodiments of the present invention, serve to explain the present invention without limiting the present invention. In the drawings:
fig. 1 is a flowchart of a method for allocating based on inventory data according to the present invention.
Fig. 2 is a flowchart illustrating generation of a corresponding warehousing cluster list in a sample of a method for allocating based on inventory data according to an embodiment of the present invention.
Fig. 3 is a flowchart of generating a transfer aging list in a transfer method based on inventory data according to an embodiment of the present invention.
FIG. 4 is a system block diagram of a system for inventory data based transfers in an embodiment of the present invention.
Fig. 5 is a block diagram of a server in an inventory data based dialing system according to an embodiment of the present invention.
Fig. 6 is a schematic diagram of a transfer process in a transfer system based on inventory data according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In some of the flows described in the present specification and claims and in the above figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, with the order of the operations being indicated as 101, 102, etc. merely to distinguish between the various operations, and the order of the operations by themselves does not represent any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.
The technical solutions in the exemplary embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the exemplary embodiments of the present invention, and it is apparent that the described exemplary embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The inventory data-based allocation method, the inventory data-based allocation system, the inventory data-based allocation equipment and the storage medium are used for allocating commodities among intelligent stores, break through the traditional actual consumption and inventory information barriers of commodities of all stores, use the inventory information of all stores during sales as the inventory data of commodity allocation, allocate the needed goods in short of supply in a one-key request mode, do not need store staff to consume a large amount of time and energy, feed back the query identification in a request receiving mode, generate an allocation timeliness list and a simulated allocation route at the background, deliver the commodities at the appointed allocation time, meet the sales requirements of the goods in short of supply stores and avoid the influence of long-time backlog on the turnover rate of warehouses of other stores.
Referring to fig. 1, fig. 1 is a flowchart of a method for allocating based on inventory data according to an embodiment of the present invention. One embodiment of the invention provides a dispatching method based on inventory data, which is used for carrying out load analysis and dynamic capacity adjustment on the existing power change station and providing a reference basis for configuration optimization decision of a newly-built power change station; the method comprises the following steps:
s1: and acquiring a transfer request and feeding back a query identifier, wherein the transfer request comprises information of commodities to be transferred and store information.
It should be particularly noted that the information of the to-be-dialed goods includes information such as names of the to-be-dialed goods, the number of the to-be-dialed goods, and the dialing arrival time, and is edited by the store according to the condition of the missing goods to form a dialing request including completion information of the missing goods, so that after the dialing request is obtained, the name and the number of the goods required by which store and the arrival time required after the dialing request can be read by analyzing the dialing request, and the sales requirements of the missing store are met.
S2: and analyzing the allocation request, inquiring a warehousing cluster meeting the information of the commodity to be allocated based on inventory data, and obtaining a warehousing cluster list.
In the invention, the inventory data is inventory information, real-time sales information, commodity backlog information and turnover rate of all stores, the inventory data is obtained in real time by connecting a server with terminal equipment of all stores, the sales information of commodity code scanning checkout completion is updated in real time when the stores sell the remaining inventory information corresponding to the stores, and the data when the stores store commodities are put in or out of the stores is also updated to the inventory data synchronously.
After the allocation request is analyzed, the information of the backorder store and the names and the number of the lacked commodities can be read, the allocation delivery time for meeting the sales demand can be read, when the warehouse which can be allocated is matched, the whole inventory data information is traversed, the storage cluster which can meet the allocation demand is inquired, and the storage cluster list is generated in a parallel sequence.
It should be particularly noted that the warehousing cluster lists are not sorted in sequence, and are arranged in sequence when the inventory data information is traversed.
In order to ensure the supply demand of the store corresponding to the to-be-allocated warehouse, in this embodiment, referring to fig. 2, when generating the corresponding storage cluster list, the method further includes:
s201, updating the warehousing data of the warehouse corresponding to each store in real time, and updating the inventory data in real time;
s202, setting a storage transfer threshold value, and removing the storage below the set threshold value when generating the corresponding storage cluster list.
In this embodiment, the threshold value of self supply and demand of a certain amount is set through the commodity that corresponds the warehouse to every store, when satisfying self store sales demand, but the storage cluster scope of bringing into can avoid leading to self store commodity supply not enough for satisfying current shortage store demand, additionally increases the condition of delivery task.
S3: and simulating the forecast timeliness of the shop information allocation based on the grid map, and generating an allocation timeliness list corresponding to the storage cluster list.
In this embodiment, referring to fig. 3, a method for generating a transfer aging list corresponding to a warehousing cluster list based on grid map simulation includes:
s301, reading position information of warehouses corresponding to each store in the warehousing cluster list and marking the position information in the grid map as a starting point coordinate;
s302, marking store information corresponding to the information of the commodity to be called as a termination point coordinate;
s303, generating a distribution route from each starting point coordinate to the ending point coordinate and predicting the time efficiency based on the grid map;
s304, recording the corresponding predicted aging of each warehouse in the warehousing cluster list, and generating a transfer aging list corresponding to the warehousing cluster list.
It should be particularly noted that, in this embodiment, first, the location information of the warehouse or store of the warehousing cluster list meeting the allocation requirement is determined, and the location information of the warehouse corresponding to each store in the warehousing cluster list is used as a starting point coordinate and marked in the grid map; and the position information of the shop of the supplementary commodity to be dispatched is used as the coordinates of the termination point, so that a plurality of distribution routes and the corresponding predicted time effectiveness of each distribution route are generated.
In this step, when the coordinates of the start point and the coordinates of the end point are obtained, the coordinates of the start point and the coordinates of the end point are obtained by clicking or inputting address name mapping in the grid map. Suppose a starting point in the warehousing cluster list is P1、P2…PnCoordinate of end point is PeAnd then, a distribution route is simulated and allocated by selecting a traffic mode, wherein the traffic mode can comprise walking, riding and driving, and the maximum walking speed is 5km/h, the maximum riding speed is 25km/h and the maximum driving speed is 120 km/h. The predicted time effectiveness is a navigation route from a starting point to an end point, and at least 3 distribution routes and predicted time effectiveness are generated according to different traffic modes aiming at the navigation route from each starting point coordinate to each end point coordinate. Suppose a starting point P1To the end point coordinate PeThe distribution routes comprise a fastest walking route, a fastest riding route and a fastest driving route, and a starting point P is generated1To the end point coordinate PeAnd when the route is distributed, automatically screening the fastest walking route, the fastest riding route and the fastest driving route, reserving one of the fastest walking route as a distribution route, and distributing the route for the predicted time limit.
Therefore, the optimal distribution route and the predicted time effectiveness from each starting point to the ending point can be sequentially generated, and the optimal distribution route and the predicted time effectiveness are stored to the corresponding position of each warehouse in the warehouse cluster list.
S4: and according to the allocation timeliness sequence, allocating the first storage in sequence, the simulated allocation route and store information corresponding to the first storage as return results, and uploading the allocation progress in real time.
According to the predicted time effectiveness corresponding to each warehouse in the warehouse cluster list recorded in the step S304, according to the sequence from small to large of the transfer time effectiveness, the warehouse corresponding to the shortest transfer time is used as a first warehouse, a distribution route from the first warehouse to store information corresponding to the commodity information to be transferred is used as a simulated transfer route, the store information corresponding to the first warehouse is stored as a return result, and the store information is delivered at the designated transfer time.
It should be particularly noted that, when a return result is generated, the to-be-deployed commodity in the first warehouse is removed from the warehouse data in the first warehouse, and the warehouse data in the first warehouse is updated in real time.
In this embodiment, the transfer routes stored in the return result are all the starting points P1、P2…PnCoordinate of arrival end point is PeThe commodity in the warehouse of the initial point store corresponding to the transfer route is quickly distributed to the end point store lacking the commodity in a fastest mode so as to meet the sales demand of the backorder store.
And S5, inquiring the transfer progress in real time according to the fed inquiry identification.
In the invention, the backorder store can inquire the allocation condition of the commodity at any time according to the acquired inquiry mark, and the analysis of the inquiry allocation request matches the warehouse cluster progress, the simulation prediction aging progress of the allocation request, the generation progress of the allocation result of the allocation request and the allocation and distribution progress according to the simulated allocation route.
The inventory data-based allocation method can initiate allocation at stores by one key, inquire the inventory condition among stores at the background, optimally match and allocate commodities, and deliver the commodities to the backorder stores at the highest speed so as to meet the sales demand of the backorder stores, and is convenient and rapid.
It should be understood that although the steps are described above in a certain order, the steps are not necessarily performed in the order described. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, some steps of the present embodiment may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or in turns with other steps or at least a part of the steps or stages in other steps.
In one embodiment, as shown in fig. 4, an inventory data based allocation system is provided, which can perform inventory query, allocation and distribution between stores by using the aforementioned inventory data based allocation method. The inventory data-based allocation system comprises a server 100 and terminal devices 200 communicated with the server 100, wherein in this embodiment, the number of the terminal devices 200 is equal to the number of chain stores controlled and managed by the server 100 and corresponds to one another, each terminal device 200 corresponds to each chain store configuration and is bound with store information, and the terminal devices 200 are used for inputting the names of the commodities to be allocated, the number of the commodities to be allocated and allocation arrival time of the commodity information to be allocated and sending the commodity names, the commodities to be allocated and the allocation arrival time to the server 100 in an allocation request manner; the terminal device 200 is further configured to query a call progress corresponding to the call request according to the fed-back query identifier.
It should be noted that the terminal device 200 of each store is further configured to synchronize the commodity sales information, the inventory information, and the warehousing-in/warehousing-out information of the store to the server 100 in real time, so as to update the inventory data of all stores counted on the server 100.
In this embodiment, when a store lacking goods initiates a one-key dial function, the terminal device 200 of the backorder store is configured to send a dial request to the server 100 and receive an inquiry identifier fed back by the server 100. The transfer request comprises information of commodities to be transferred and store information, and the information of the commodities to be transferred comprises names of the commodities to be transferred, the quantity of the commodities to be transferred and transfer arrival time. The inquiry identification is used for regularly inquiring the transfer progress of the backorder store, the transfer process does not need to be waited for, and the time is saved.
Referring to fig. 4, the server 100 includes a configuration module 110, a database 120, a simulation module 130, a dial-up distribution module 140, and a processing module 150.
The configuration module 110 is configured to query the database 120 for a warehousing cluster meeting the information of the to-be-deployed commodity according to the deployment request, and obtain a warehousing cluster list. It should be particularly noted that, in this embodiment, the configuration module 110 may adopt a distributed manner for the allocation requests sent by the multiple terminal devices 200 and received by the server 100 or the multiple allocation requests sent by one terminal device 200, and generate the warehousing cluster list corresponding to each allocation request according to the allocation quantity corresponding to the allocated goods of each allocation request when the whole inventory data is synchronously traversed according to the analyzed allocation request information.
The database 120 is configured to update the warehousing data of the warehouse corresponding to each store in real time, and update the inventory data in real time; the database 120 is connected to the terminal device 200 of each store, and synchronizes the commodity sales information, the inventory information, and the warehousing-in/warehousing-out information of the store to the database 120 in real time, so as to update the inventory data of all stores counted on the server 100.
The simulation module 130 is configured to simulate the predicted timeliness of the store information allocation based on the grid map, and generate an allocation timeliness list corresponding to the warehousing cluster list. Specifically, when the transfer aging list is generated, the position information of the warehouse corresponding to each store in the warehouse cluster list is read and marked in the grid map as the starting point coordinate; marking store information corresponding to the information of the commodity to be called as a termination point coordinate; generating a distribution route from each starting point coordinate to the end point coordinate and predicting the time efficiency based on the grid map; and recording the corresponding predicted aging of each warehouse in the warehousing cluster list, and generating a transfer aging list corresponding to the warehousing cluster list.
In this embodiment, according to the descending order of the transfer timeliness in the transfer timeliness list, the warehouse corresponding to the shortest transfer time is used as the first warehouse, the distribution route from the first warehouse to the store information corresponding to the information of the commodity to be transferred is used as the simulated transfer route, the store information corresponding to the first warehouse is stored as the return result, and the store information is delivered at the specified transfer delivery time.
The allocating and delivering module 140 is configured to allocate the sorted first warehouses, the simulated allocating routes and store information corresponding to the first warehouses as return results according to allocating and scheduling time sequence, and deliver the ordered first warehouses, the simulated allocating routes and the store information to the first warehouses at allocating and delivering time. During distribution, one of the fastest delivery routes is reserved as a distribution route by selecting an optimal traffic mode, an optimal distribution route and an optimal distribution time mode, and the distribution time of the distribution route is the predicted time limit. The optimal distribution route and the predicted time effect from each starting point to each ending point can be sequentially generated, and the optimal distribution route and the predicted time effect are stored to the corresponding position of each warehouse in the warehouse cluster list and are delivered at the appointed allocation delivery time.
The processing module 150 is configured to receive the allocation request and feed back a query identifier; the database 120 is used for analyzing the allocation request, inquiring the warehousing cluster meeting the information of the commodity to be allocated in the database 120 according to the allocation request, and obtaining a warehousing cluster list; and the system is also used for uploading the transfer schedule in real time.
It should be particularly noted that the processing module 150 is a processing unit of the server, and is connected to the configuration module 110, the database 120, the simulation module 130, and the allocating and delivering module 140 to sequentially complete the feedback and analysis of the allocating request, obtain the warehousing cluster list according to the inventory data stored in the database 120 by matching, and allocate the goods in the first warehouse to the backorder store at the designated allocating and delivering time according to the allocating route and the first warehouse simulated by the simulation module 130, so as to meet the sales demand of the backorder store.
In an embodiment of the present invention, referring to fig. 5, the inventory data based allocation system further includes a result storage module 160, where the result storage module 160 is configured to store the sorted first warehouse, the simulated allocation route, and store information corresponding to the first warehouse as a return result, and deliver the return result to the goods at the allocation arrival time specified by the allocation request according to the stored result.
In an embodiment of the present invention, referring to fig. 5, the inventory data-based allocation system further includes a progress cache module 170, where the progress cache module 170 is configured to receive, in real time, the allocation request processing progress uploaded by the processing module 150, and the allocation request processing progress includes an analysis matching warehousing cluster progress of the allocation request, a simulation prediction aging progress of the allocation request, an allocation result generation progress of the allocation request, and an allocation delivery progress according to a simulated allocation route.
When the allocation system based on inventory data provided by the invention is used for allocating, referring to fig. 6, the working flow is as follows:
1. the terminal device 200 corresponding to the store lacking the commodity transmits a call request to the server 100.
2. After receiving the allocation request, the processing module 150 of the server 100 feeds back an inquiry identifier to the terminal device 200 corresponding to the store lacking the commodity as a basis for inquiring the allocation progress in the later period.
3. The processing module 150 of the server 100 parses the received call request, and parses information such as the name of the to-be-called commodity, the number of the to-be-called commodity, and the call arrival time of the missing commodity included in the call request.
4. The sales information of the shop after the code scanning checkout is completed when all shops sell is updated in real time, and the data of the shops when the shops enter or leave the warehouse are also synchronously updated into the inventory data of the database 120.
5. The configuration module 110 of the server 100 queries the warehousing cluster meeting the information of the goods to be deployed based on the inventory data, and obtains a warehousing cluster list.
6. The obtained warehousing cluster list is returned to the processing module 150.
7. The processing module 150 simulates the forecast timeliness of the store information allocation based on the grid map, generates an allocation timeliness list corresponding to the storage cluster list, allocates the sorted first storage, the simulated allocation route and the store information corresponding to the first storage as return results according to the allocation timeliness sorting, uploads the allocation progress in real time, and stores the allocation progress to the result storage module 160.
8. The result storage module 160 sends the returned results of the call to the call dispatch module 140.
9. The time to call delivery analyzed by the processing module 150 is sent to the call delivery module 140.
10. The allocating and delivering module 140 delivers the commodity at the designated allocating and delivering time according to the allocating and returning result and the allocating and delivering time.
11. The simulation prediction aging progress during analysis and allocation, the allocation result generation progress of the allocation request, the allocation and distribution progress according to the simulated allocation route, and the like are uploaded to the progress cache module 170 in real time.
12. And inquiring the transfer progress at any time by the terminal equipment 200 corresponding to the store lacking the commodity according to the inquiry identification.
The invention sends the allocation request by the terminal equipment 200 bound with store information, the server 100 uniformly receives the allocation request in parallel and feeds back the query identifier, store personnel do not need to communicate the allocation one by one, the allocation processing process does not need to wait, the progress is inquired at any time only according to the query identifier, the allocation waiting and selecting time is saved, the allocation processing capacity is increased, the allocation request obtained by transverse processing is supported, the batch requests are asynchronously processed, the allocation and distribution of commodities are rapidly completed based on stock data, the optimal allocation and distribution effect is achieved, and the sales requirements of the backorder stores are met.
In an embodiment of the present invention, there is also provided, in an embodiment of the present invention, an inventory-data-based dialing apparatus, including at least one processor, and a memory communicatively connected to the at least one processor, where the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so as to cause the at least one processor to execute the inventory-data-based dialing method, where the processor executes the instructions to implement the steps in the above method embodiments:
acquiring a transfer request and feeding back a query identifier, wherein the transfer request comprises information of commodities to be transferred and store information;
analyzing the allocation request, inquiring a warehousing cluster meeting the information of the commodity to be allocated based on inventory data, and obtaining a warehousing cluster list;
simulating the forecast time efficiency of the shop information allocation based on the grid map, and generating an allocation time efficiency list corresponding to the storage cluster list;
according to the allocation timeliness sorting, allocating the sorted first storage, the simulated allocation route and store information corresponding to the first storage as return results, and uploading the allocation progress in real time;
and inquiring the transfer progress in real time according to the fed-back inquiry identification.
In one embodiment of the present invention, a computer-readable storage medium is provided, which stores computer instructions for causing the computer to execute the inventory data-based transfer method:
acquiring a transfer request and feeding back a query identifier, wherein the transfer request comprises information of commodities to be transferred and store information;
analyzing the allocation request, inquiring a warehousing cluster meeting the information of the commodity to be allocated based on inventory data, and obtaining a warehousing cluster list;
simulating the forecast time efficiency of the shop information allocation based on the grid map, and generating an allocation time efficiency list corresponding to the storage cluster list;
according to the allocation timeliness sorting, allocating the sorted first storage, the simulated allocation route and store information corresponding to the first storage as return results, and uploading the allocation progress in real time;
and inquiring the transfer progress in real time according to the fed-back inquiry identification.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program represented by computer instructions and stored in a non-volatile computer-readable storage medium, and the computer program can include the processes of the embodiments of the methods described above when executed. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory.
Non-volatile memory may include read-only memory, magnetic tape, floppy disk, flash memory, optical storage, or the like. Volatile memory may include random access memory or external cache memory. By way of illustration, and not limitation, RAM can take many forms, such as static random access memory, dynamic random access memory, and the like.
In summary, the allocation method, system, device and storage medium based on inventory data of the invention enable the stores among stores to be mutually inquired, the allocation is initiated by one key, the allocation is convenient and fast, the terminal device binding store information sends the allocation request, the server uniformly and parallelly receives the allocation request and feeds back the inquiry identifier, store personnel do not need to communicate the allocation one by one, the allocation processing process does not need to wait, the progress is inquired at any time according to the inquiry identifier, the allocation waiting and selecting time is saved, the allocation processing capability is increased, the allocation request obtained by transverse processing is supported, the batch requests are asynchronously processed, the allocation and distribution of commodities are rapidly completed based on the inventory data, the optimal allocation and distribution effect is achieved, and the sales requirements of the shortage stores are met.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A method for allocating based on inventory data is characterized by comprising the following steps:
acquiring a transfer request and feeding back a query identifier, wherein the transfer request comprises information of commodities to be transferred and store information;
analyzing the allocation request, inquiring a warehousing cluster meeting the information of the commodity to be allocated based on inventory data, and obtaining a warehousing cluster list;
simulating the forecast time efficiency of the shop information allocation based on the grid map, and generating an allocation time efficiency list corresponding to the storage cluster list;
according to the allocation timeliness sorting, allocating the sorted first storage, the simulated allocation route and store information corresponding to the first storage as return results, and uploading the allocation progress in real time;
and inquiring the transfer progress in real time according to the fed-back inquiry identification.
2. The inventory data-based calling method as recited in claim 1, wherein the information of the to-be-called commodities includes names of the to-be-called commodities, the number of the to-be-called commodities, and calling delivery time.
3. The inventory data-based allocation method according to claim 2, wherein simulating the predicted time period for allocating to the store information based on the grid map and generating an allocation time period list corresponding to the warehousing cluster list comprises:
reading the position information of the warehouse corresponding to each store in the warehousing cluster list and marking the position information in the grid map as a starting point coordinate;
marking store information corresponding to the information of the commodity to be called as a termination point coordinate;
generating a distribution route from each starting point coordinate to the end point coordinate and predicting the time efficiency based on the grid map;
and recording the corresponding predicted aging of each warehouse in the warehousing cluster list, and generating a transfer aging list corresponding to the warehousing cluster list.
4. The inventory data-based allocation method according to claim 3, wherein according to the order from small to large of the allocation timeliness in the allocation timeliness list, the warehouse corresponding to the shortest allocation time is used as a first warehouse, a delivery route from the first warehouse to store information corresponding to the commodity information to be allocated is used as a simulated allocation route, the store information corresponding to the first warehouse is stored as a return result, and the store information is delivered at the designated allocation delivery time.
5. The inventory data-based transfer method according to claim 4, wherein when generating the corresponding warehousing cluster list, further comprising:
the warehouse data of the warehouse corresponding to each store are updated in real time, and the inventory data are updated in real time;
setting a threshold value of storage transfer, and removing the storage below the set threshold value when generating a corresponding storage cluster list;
and when a return result is generated, the commodities to be allocated and allocated in the first warehouse are removed from the warehouse data of the first warehouse, and the warehouse data of the first warehouse is updated in real time.
6. An inventory data-based allocation system, which is characterized in that the inventory data-based allocation system adopts the inventory data-based allocation method of any one of claims 1 to 5 to perform inventory inquiry, allocation and distribution among stores; the inventory data-based allocation system comprises a server and terminal equipment communicated with the server;
the terminal equipment is used for sending a transfer request to the server and receiving a query identifier fed back by the server;
the server comprises a configuration module, a database, a simulation module, a transferring and distributing module and a processing module;
the configuration module is used for inquiring the warehousing cluster meeting the information of the commodity to be allocated in the database according to the allocation request to obtain a warehousing cluster list;
the database is used for updating the warehousing data of the warehouse corresponding to each store in real time and updating the inventory data in real time;
the simulation module is used for simulating the forecast timeliness of the shop information allocation based on the grid map and generating an allocation timeliness list corresponding to the storage cluster list;
the allocation and delivery module is used for allocating the ordered first warehouse, the simulated allocation route and store information corresponding to the first warehouse as return results according to allocation and aging ordering, and delivering the goods to the warehouse at the allocation and delivery time;
the processing module is used for receiving the allocation request and feeding back a query identifier; the database is used for analyzing the allocation request, inquiring the warehousing cluster meeting the information of the commodity to be allocated in the database according to the allocation request, and obtaining a warehousing cluster list; and the system is also used for uploading the transfer schedule in real time.
7. The inventory data-based transfer system as recited in claim 6, further comprising a result storage module, wherein the result storage module is configured to store the sorted first warehouse, the simulated transfer route, and store information corresponding to the first warehouse as a return result, and deliver the return result to the goods at the transfer arrival time specified by the transfer request according to the stored result.
8. The inventory data-based transfer system according to claim 7, further comprising a progress cache module, wherein the progress cache module is configured to receive the transfer request processing progress uploaded by the processing module in real time, and the transfer request processing progress includes an analysis matching warehouse cluster progress of the transfer request, a simulation prediction aging progress of the transfer request, a transfer result generation progress of the transfer request, and a transfer distribution progress according to a simulated transfer route.
9. An inventory data based dialing apparatus, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to cause the at least one processor to perform the inventory data based call method of any of claims 1-5.
10. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the inventory data based transfer method of any of claims 1-5.
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